Unsupervised eye pupil localization through differential geometry and local self-similarity matching.
The automatic detection and tracking of human eyes and, in particular, the precise localization of their centers (pupils), is a widely debated topic in the international scientific community. In fact, the extracted information can be effectively used in a large number of applications ranging from ad...
Main Authors: | Marco Leo, Dario Cazzato, Tommaso De Marco, Cosimo Distante |
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Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2014-01-01
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Series: | PLoS ONE |
Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/25122452/?tool=EBI |
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